基于云计算的计算机网络可靠性分析全概率分解算法

Qiangguo Yin, Nana Feng
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引用次数: 0

摘要

云计算的出现深刻地改变了商业计算模式。人们无需购买大量昂贵的专用设备就能获得按需计算能力。目前,它已广泛应用于国防军事、交通运输、工业制造和社会计算等领域。如何利用现有的云计算构建高可靠、高可用的应用计算,保证计算沿预期轨道、朝着预期目标稳定运行;如何客观、科学地设计可靠的云计算,动态、高效地评估云计算的可靠性是可靠性分析中的一个重要问题。可靠性在服务的非功能属性中起着至关重要的作用。服务的可靠性直接决定了它是否能够按照一定的需求满足服务请求者的业务需求。提高云服务的可靠性,可以在一定程度上减少云服务的故障率,降低云服务提供商的服务成本。因此,本文采用的概率分解法是计算网络可靠性的重要方法。该方法既适用于无向网络,也适用于有向网络。这很容易理解。分解元素的选择不依赖于人力。实验结果表明,该方法的效率高达61.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Total Probability Decomposition Algorithm for Computer Network Reliability Analysis Based on Cloud Computing
The emergence of cloud computing has profoundly changed the business computing model. People can obtain on-demand computing power without purchasing a large number of expensive specialized equipment. Currently, it has been widely used in the fields of defense and military, transportation, industrial manufacturing and social computing. How to use the existing cloud computing to build highly reliable and highly available application computing, and ensure that the computing runs stably along the expected track and towards the expected goal; How to objectively and scientifically design reliable cloud computing and dynamically and efficiently evaluate the reliability of cloud computing is an important problem in reliability analysis. Reliability plays a crucial role in the non-functional attributes of a service. The reliability of a service directly determines whether it can fulfill the business needs of the service requester according to certain requirements. Increasing the reliability of cloud services can reduce the service failure rate and reduce the service cost of cloud service providers to some extent. Therefore, the probability decomposition method adopted in this paper is an important method to calculate the network reliability. This method is applicable to both undirected and directed networks. It is easy to realize. The selection of decomposition elements does not depend on manpower. The experimental results show that the efficiency is as high as 61.5%.
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